Evidence map›Paper›PMID 33195406›Full record

ArticleFrontiers in molecular biosciences2020

Evaluation of CONSRANK-Like Scoring Functions for Rescoring Ensembles of Protein-Protein Docking Poses.

Guillaume Launay, Masahito Ohue, Julia Prieto Santero, Yuri Matsuzaki, Cécile Hilpert, Nobuyuki Uchikoga, Takanori Hayashi, Juliette Martin

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. LuxR-Type Regulator RRPMicroorganisms · 2025
    Article
  2. Article
  3. ChemFlow_py: a flexible toolkit for docking and rescoring.Journal of computer-aided molecular design · 2023
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Guillaume LaunayCNRS, UMR 5086 Molecular Microbiology and Structural Biochemistry, University of Lyon, Lyon, France.
Masahito OhueDepartment of Computer Science, School of Computing, Tokyo Institute of Technology, Tokyo, Japan.
Julia Prieto SanteroCNRS, UMR 5086 Molecular Microbiology and Structural Biochemistry, University of Lyon, Lyon, France.
Yuri MatsuzakiTokyo Tech Academy for Leadership, Tokyo Institute of Technology, Tokyo, Japan.
Cécile HilpertCNRS, UMR 5086 Molecular Microbiology and Structural Biochemistry, University of Lyon, Lyon, France.
Nobuyuki UchikogaDepartment of Network Design, School of Interdisciplinary Mathematical Sciences, Meiji University, Tokyo, Japan.
Takanori HayashiDepartment of Computer Science, School of Computing, Tokyo Institute of Technology, Tokyo, Japan.
Juliette MartinCNRS, UMR 5086 Molecular Microbiology and Structural Biochemistry, University of Lyon, Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scoring is a challenging step in protein-protein docking, where typically thousands of solutions are generated. In this study, we ought to investigate the contribution of consensus-rescoring, as introduced by Oliva et al. (2013) with the CONSRANK method, where the set of solutions is used to build statistics in order to identify recurrent solutions. We explore several ways to perform consensus-based rescoring on the ZDOCK decoy set for Benchmark 4. We show that the information of the interface size is critical for successful rescoring in this context, but that consensus rescoring in itself performs less well than traditional physics-based evaluation. The results of physics-based and consensus-based rescoring are partially overlapping, supporting the use of a combination of these approaches.

Indexed as

dockinginterfacepredictionprotein–protein interactionscoring

Identifiers

PMID33195406
PMCPMC7641601

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.